code: def make_mel_loss_args(**kwargs):
      defaults = dict(
          fs=120,
          n_fft=16,
          hop_length=4,
          win_length=None,
          window="hann",
          n_mels=2,
          fmin=None,
          fmax=None,
          center=True,
          normalized=False,
          onesided=True,
          log_base=10.0,
      )
      defaults.update(kwargs)
      return defaults
  
file_path: espnet/test/espnet2/gan_tts/hifigan/test_hifigan.py
imports: import numpy
  import pytest
  import torch
  from espnet2.gan_tts.hifigan import HiFiGANGenerator, HiFiGANMultiScaleMultiPeriodDiscriminator
  from espnet2.gan_tts.hifigan.loss import DiscriminatorAdversarialLoss, FeatureMatchLoss, GeneratorAdversarialLoss, MelSpectrogramLoss
label_desc: Use image node_id 3 for calling a global function with example usage: make_mel_loss_args() and returns: defaults